Literature DB >> 16978675

Advantage of storage in a fluctuating environment.

B W Kooi1, T A Troost.   

Abstract

We will elaborate the evolutionary course of an ecosystem consisting of a population in a chemostat environment with periodically fluctuating nutrient supply. The organisms that make up the population consist of structural biomass and energy storage compartments. In a constant chemostat environment a species without energy storage always out-competes a species with energy reserves. This hinders evolution of species with storage from those without storage. Using the adaptive dynamics approach for non-equilibrium ecological systems we will show that in a fluctuating environment there are multiple stable evolutionary singular strategies (ss's): one for a species without, and one for a species with energy storage. The evolutionary end-point depends on the initial evolutionary state. We will formulate the invasion fitness in terms of Floquet multipliers for the oscillating non-autonomous system. Bifurcation theory is used to study points where due to evolutionary development by mutational steps, the long-term dynamics of the ecological system changes qualitatively. To that end, at the ecological time scale, the trait value at which invasion of a mutant into a resident population becomes possible can be calculated using numerical bifurcation analysis where the trait is used as the free parameter, because it is just a bifurcation point. In a constant environment there is a unique stable equilibrium for one species following the "competitive exclusion" principle. In contrast, due to the oscillatory dynamics on the ecological time scale two species may coexist. That is, non-equilibrium dynamics enhances biodiversity. However, we will show that this coexistence is not stable on the evolutionary time scale and always one single species survives.

Mesh:

Year:  2006        PMID: 16978675     DOI: 10.1016/j.tpb.2006.07.005

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  6 in total

1.  Bifurcation theory, adaptive dynamics and dynamic energy budget-structured populations of iteroparous species.

Authors:  B W Kooi; J van der Meer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

2.  Unexpected patterns of plastic energy allocation in stochastic environments.

Authors:  Barbara Fischer; Barbara Taborsky; Ulf Dieckmann
Journal:  Am Nat       Date:  2009-03       Impact factor: 3.926

3.  Contrasting size evolution in marine and freshwater diatoms.

Authors:  E Litchman; C A Klausmeier; K Yoshiyama
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-06       Impact factor: 11.205

4.  A Biomass Flow Approach to Population Models and Food Webs.

Authors:  Wayne M Getz
Journal:  Nat Resour Model       Date:  2012-02       Impact factor: 1.182

5.  When to store energy in a stochastic environment.

Authors:  Barbara Fischer; Ulf Dieckmann; Barbara Taborsky
Journal:  Evolution       Date:  2010-12-22       Impact factor: 3.694

6.  Modelling the dynamics of traits involved in fighting-predators-prey system.

Authors:  B W Kooi
Journal:  J Math Biol       Date:  2015-03-14       Impact factor: 2.259

  6 in total

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